An Intuitive Guide to Fine-Tuning Large Language Model

Explore Different Techniques to Fine-tune Large Language Models(LLM)

Imagine a world where doctors have a powerful medical assistant at their fingertips. This AI-powered tool could instantly analyze massive amounts of medical reports, highlight key findings, and even suggest potential diagnoses. No more drowning in paperwork — this assistant could simplify the diagnostic process, allowing doctors to focus on what they do best: patient care.

This vision can become a reality, transforming the power of large language models (LLMs) for specific tasks through fine-tuning LLMs.

A medical assistant is just a tool and not a replacement for Doctors’ professional judgment and expertise.

What is Fine-tuning an LLM?

Fine-tuning is a method to enhance the capabilities of a pre trained large language models (LLMs) to learn new, domain-specific knowledge and improving their performance for a specific task.